Sökning: "support vector machines"

Visar resultat 6 - 10 av 238 uppsatser innehållade orden support vector machines.

1. 6. Machine Learning based Predictive Data Analytics for Embedded Test Systems

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Fayad Al Hanash; [2023]
   Nyckelord :Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

   Sammanfattning : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. LÄS MER

3. 7. Multi-scale Bark Beetle Predictions Using Machine Learning

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Albert Øhrman Wellendorf; [2023]
   Nyckelord :Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

   Sammanfattning : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. LÄS MER

4. 8. Evaluation of machine learning models for classifying malicious URLs

   Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

   Författare :Shayan Abad; Hassan Gholamy; [2023]
   Nyckelord :Machine learning; Cyber security; Classification; Malicious URL; Instance selection;

   Sammanfattning : Millions of new websites are created daily, making it challenging to determine which ones are safe. Cybersecurity involves protecting companies and users from cyberattacks. Cybercriminals exploit various methods, including phishing attacks, to trick users into revealing sensitive information. LÄS MER

5. 9. An Evaluation of Classical and Quantum Kernels for Machine Learning Classifiers

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Teo Nordström; Jacob Westergren; [2023]
   Nyckelord :Machine Learning; Quantum Computing; Kernels; Support Vector Machines; Maskininlärning; Kvantberäkning; Kärnor; Stödvektormaskin;

   Sammanfattning : Quantum computing is an emerging field with potential applications in machine learning. This research project aimed to compare the performance of a quantum kernel to that of a classical kernel in machine learning binary classification tasks. LÄS MER

7. 10. ML enhanced interpretation of failed test result

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Hiranmayi Pechetti; [2023]
   Nyckelord :Data Parsing; Machine Learning; Log file Analysis; Text Classification; Supervised Classification; Dataanalys; maskininlärning; loggfilsanalys; textklassificering; Övervakad klassificering;

   Sammanfattning : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. LÄS MER